Local Data Search
A total of 38 results found. Show Results on Map.
| Rank | Median Two or More Race Household Income ▼ | County / Population |
| 1. | $63,167 | Wahkiakum, WA / 3,982 |
| 2. | $62,955 | Douglas, WA / 37,160 |
| 3. | $57,441 | Snohomish, WA / 694,219 |
| 4. | $56,971 | Benton, WA / 167,077 |
| 5. | $56,943 | King, WA / 1,879,189 |
| 6. | $55,688 | Franklin, WA / 71,329 |
| 7. | $53,324 | Kitsap, WA / 247,336 |
| 8. | $52,005 | Thurston, WA / 243,563 |
| 9. | $50,137 | Pierce, WA / 782,681 |
| 10. | $49,332 | Clark, WA / 414,816 |
| 11. | $48,889 | Yakima, WA / 236,542 |
| 12. | $47,303 | Whatcom, WA / 195,993 |
| 13. | $46,250 | Chelan, WA / 70,995 |
| 14. | $46,051 | Skagit, WA / 115,231 |
| 15. | $45,278 | Adams, WA / 17,884 |
| 16. | $44,750 | Jefferson, WA / 29,574 |
| 17. | $44,167 | Island, WA / 78,633 |
| 18. | $43,021 | Grant, WA / 85,142 |
| 19. | $42,589 | Mason, WA / 59,287 |
| 20. | $42,576 | Cowlitz, WA / 101,244 |
| 21. | $40,655 | Stevens, WA / 43,171 |
| 22. | $40,313 | Walla Walla, WA / 57,585 |
| 23. | $38,047 | Okanogan, WA / 40,238 |
| 24. | $37,917 | Lincoln, WA / 10,533 |
| 25. | $36,833 | Clallam, WA / 70,638 |
| 26. | $36,786 | Klickitat, WA / 20,055 |
| 27. | $35,945 | Spokane, WA / 461,262 |
| 28. | $33,446 | Grays Harbor, WA / 72,092 |
| 29. | $31,335 | Asotin, WA / 21,363 |
| 30. | $31,250 | Ferry, WA / 7,504 |
| 31. | $30,208 | Pacific, WA / 21,192 |
| 32. | $29,417 | Garfield, WA / 2,240 |
| 33. | $27,351 | Pend Oreille, WA / 12,904 |
| 34. | $27,143 | Lewis, WA / 74,650 |
| 35. | $25,893 | San Juan, WA / 15,551 |
| 36. | $19,250 | Kittitas, WA / 39,869 |
| 37. | $18,724 | Whitman, WA / 43,747 |
| 38. | $18,594 | Skamania, WA / 10,869 |
Please note that we only rank locations with 'Median Two or More Race Household Income' data. The rank above might not be a complete list. Locations without 'Median Two or More Race Household Income' data are not listed.
*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.